Artificial intelligence is profoundly transforming professional practices, and the mergers and acquisitions (M&A) sector is no exception. Once the preserve of the largest players, access to strategic information and deal sourcing is now becoming increasingly democratised thanks to AI. These tools are particularly valuable for SMEs.
Analysis and insight from the experts at AURIS Finance, a specialised M&A advisory firm.
Unequal Access to Data
In the world of company acquisitions and divestments, not all organisations start on equal footing.
On one hand, large corporate groups possess structured M&A teams capable of continuously analysing sector dynamics, identifying relevant targets, and anticipating market movements. These teams can leverage structured databases, sophisticated analytical tools, and specialised external advisors to maintain a competitive edge.
Competitive Advantage
On the other hand, SMEs often lack access to such strategic information. Without visibility on past transactions, observed valuations, or companies in development phases, they struggle to identify opportunities for external growth. In the absence of comparables, they are often ill-equipped to estimate their own valuation.
Emerging AI Platforms
Artificial intelligence now provides new tools for SMEs. Early platforms are emerging with a strong promise: to make business intelligence accessible to smaller organisations.
By aggregating thousands of sources—including company registries, financial statements, press releases, corporate websites, specialised articles, and professional social networks—these platforms build proprietary databases of transactions and high-growth companies.
Accessible to investors as well as SMEs, these platforms serve two primary functions:
• Providing investors, buyers, and sellers with valuation benchmarks based on prior deals.
• Assessing the value of a company for sale using precise criteria, such as value creation, potential synergies, and market positioning.
Highly Specific Queries
Investors or SME leaders can now perform highly specific natural language queries (for example: “Industrial SMEs in the Île-de-France region generating €5–20 million in revenue, profitable, and in a transfer phase”). The responses list past deals as well as companies currently for sale.
Value Chain Integration
The contribution of artificial intelligence extends beyond target identification. AI is now integrated at every stage of the divestment or acquisition process.
Upstream, predictive analysis can detect the most promising segments, anticipate consolidations, and prioritise sectors in which to initiate external growth strategies.
During due diligence, AI automates the reading and sorting of large volumes of documents (contracts, leases, litigation files, HR documentation), highlights risk areas, and reduces analysis time.
In the integration phase, these technologies model synergies, identify organisational or IT system overlaps, and simulate different target organisation scenarios.
While AI can improve efficiency, the success of a transaction still largely depends on the human factor. The interaction between two corporate cultures cannot be modelled by AI.
Our Experts by Your Side
Artificial intelligence is establishing itself as a valuable ally in M&A transactions, particularly for SMEs with limited dedicated resources. It offers broader access to data, improved visibility on external growth opportunities, and critical decision-making support, without replacing the human element.
The experts at AURIS Finance are sector-focused specialists. We work alongside you throughout your divestment, acquisition, and financing operations.
Contact us for further information at AURIS Finance contact page.
